Platform Engineer (contract)

We are seeking a Platform Engineer to design, implement, and maintain scalable, high-performance cloud-based infrastructure solutions. This role requires strong expertise in Azure cloud services, Infrastructure as Code (IaC), and modern DevOps practices. You will be responsible for enabling CI/CD automation, optimizing system reliability, and supporting MLOps pipelines for deploying AI and vision models to edge environments.

Work Location: Houston, TX (Remote)

Visa Types Accepted: H1B, L-2 EAD, H-4 EAD, AOS EAD, Green Card, U.S. Citizen

Key Responsibilities

• Design and implement robust, scalable platform solutions leveraging cloud technologies and IaC principles.
• Collaborate with software development teams to ensure optimal application performance, scalability, and reliability.
• Develop and maintain CI/CD pipelines to automate deployment and enhance operational efficiency.
• Monitor system performance and troubleshoot issues using observability tools, metrics, and logs.
• Contribute to architecture discussions, influencing design decisions aligned with business and technical objectives.
• Provide production support ensuring system uptime, availability, and reliability through proactive maintenance.
• Build and support MLOps pipelines for automated deployment of AI/vision models to edge environments.
• Collaborate with client stakeholders and cross-functional teams for technical delivery and solution alignment.

Technical Profile

• Cloud Platforms: Azure (IaaS, PaaS), Databricks, ADLS Gen2, Azure Kubernetes Service (AKS), Azure Container Apps (ACA)
• Infrastructure as Code: Terraform and/or Ansible Playbooks
• MLOps & AI Integration: Automated model deployment pipelines for vision/AI workloads
• Architecture & Automation: API integration, scalability design, observability, and performance tuning
• DevOps Practices: CI/CD implementation, version control, and configuration management

Functional Profile

• Strong collaboration with cross-functional and client teams in cloud-native environments.
• Capable of translating business goals into scalable technical architectures.
• Proven ability to support production systems under mission-critical conditions.
• Effective communicator with a focus on problem-solving, ownership, and continuous improvement.

Skills Summary

Core Expertise:

Cloud Platform Engineering, Infrastructure as Code, DevOps, System Reliability Engineering, MLOps

Languages & Frameworks

Python (for automation/scripting), YAML, JSON

Cloud & Containerization

Azure (IaaS, PaaS, AKS, ACA), Databricks, ADLS Gen2

DevOps & CI/CD

Terraform, Ansible, Jenkins, Azure DevOps Pipelines, GitHub Actions

Monitoring & Observability

Azure Monitor, Application Insights, Log Analytics

Other Tools & Technologies

APIs, Model Registries, MLflow (preferred), Edge Deployment Frameworks

Soft Skills

Collaboration, Analytical Thinking, Technical Communication, Problem Solving, Ownership, Continuous Learning

The pay range that the employer in good faith reasonably expects to pay for this position is $53.82/hour - $84.09/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.